A novel community influence evaluation scheme based on information propagation in social network

Influence evaluation is a significant challenge for social network analysis. However, most of existing works focus on individual influence evaluation, while few attentions have been paid to the influence evaluation for whole community in social network. In this paper, we proposed a community influence evaluation model CIEM with information propagation perspective, which comprises following aspects: 1 the framework of CIEM and a set of related formal definitions for community influence evaluation; 2 entity influence evaluation methods for CIEM, i.e., user influence and community influence in social network, by evaluating intention degree of user propagating information, and their related calculation algorithm. The experimental results and analysis show that the proposed method in this paper is feasible and effective.

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